[Numpy-discussion] NumPy 1.7 release delays

Matthew Brett matthew.brett@gmail....
Sat Jun 30 00:52:31 CDT 2012


Hi,

On Wed, Jun 27, 2012 at 12:38 AM, Christoph Gohlke <cgohlke@uci.edu> wrote:
> On 6/26/2012 8:13 PM, Travis Oliphant wrote:
>>> For the main repos we use buildbot and test on:
>>>
>>> Ubuntu Maverick 32-bit
>>> Debian sid 64-bit
>>> OSX 10.4 PPC
>>> OSX 10.5 Intel
>>> Debian wheezy PPC
>>> Debian squeeze ARM (a Raspberry PI no less)
>>> WIndows XP 32 bit
>>> SPARC (courtesy of our friends at NeuroDebian)
>>>
>>> http://nipy.bic.berkeley.edu/builders
>>>
>>> We've found several issues with numpy using these, and I've fed them
>>> back as I found them,
>>>
>>> http://projects.scipy.org/numpy/ticket/2076
>>> http://projects.scipy.org/numpy/ticket/2077
>>> http://projects.scipy.org/numpy/ticket/2174
>>>
>>> They are particularly useful for difficult to reproduce problems
>>> because they test often and leave a record that we can point to.  As
>>> I've said before, y'all are welcome to use these machines for numpy
>>> builds / tests.
>>
>> Now that Ondrej is working on getting continuous integration up for NumPy,  I would encourage him to take you up on that offer.   Can these machines run a Jenkins slave?
>>
>> Having periodic tests of Sage, Pandas, matplotlib, scipy, and other projects is a major priority and really critical before we can really talk about how to migrate the APIs.    Thankfully, Ondrej is available to help get this project started and working this summer.
>>
>> -Travis
>>
>
>
> FWIW: I can relatively easy (batch script) build numpy from github and
> run the test suites of many packages available at
> <http://www.lfd.uci.edu/~gohlke/pythonlibs/> against it.
>
> For example at
> <http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/numpy-MKL-1.7.0.dev-66bd39f-win-amd64-py2.7/>
> are the test results of assimulo, bitarray, bottleneck, h5py,
> matplotlib, numexpr, pandas, pygame, scipy, skimage, sklearn,
> statsmodels, and pytables, built against numpy-1.6.x and run against
> numpy-1.7.0.dev-66bd39f on win-amd64-py2.7.

Thanks - that's very helpful.

Do you have your build system documented somewhere?  Is it easy to
replicate do you think?

Cheers,

Matthew


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